| 摘要: |
| 在自然语言理解中，时间是一个重要的语境因素．本文提出一种独立于句子表层形式的多层次时间语义结构，浅层语义结构是时间描述的量化语义表示，深层语义结构描述事件的动态属性和存在特征．该时间语义模型能表示时刻和时段，将时间基点明确区分为物理时间基点和说话者时间基点，并提供通用的时间语义计算方法，将各语言的时间描述映射到时间轴上．在该模型基础上，从语义观点出发，建立时、体的可计算模型及各事件时间相关性计算模型． |
| 关键词: 自然语言理解 时间 语境 语义 多语翻译 |
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| 基金项目:本文研究得到国家自然科学基金、国家863高科技项目资助. |
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| A CLUSTERING ALGORITHM FOR DECOMPOSITION OF PROBABILISTIC LOGIC FORMULA SET |
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GUO Hong-lei,YAO Tianshun
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| Abstract: |
| In natural language processing，temporal is an important situation．In order to understand temporal situation in the text，this paper presents a hierarchical temporal semantic structure independent of the surface description in sentences．The surface semantic structure formalizes the description of temporal situation；The deep semantic structure describes the dynamic attributes and the existing characteristic of the event in a given temporal situation．This temporal semantic representation model allows to express Doint in time as well as time intervals．It provides means to indicate time basic point with respect to“an absolute physical time”, as well as time basic point relatively to the speaker’s time．A universal calculation method of the temporal semantics provided in this paper localizes the temporal entities in all languages into the temporal axis．This enables to interpret combinations of verb tense, temporal adverbs and connective．In the mean-while．within this model some constructs enable to express tense，aspectual properties Of verbs as well as the semantic calculation of temporal relationship among events in the text． |
| Key words: Natural language processing temporal situation semantics multilingual machine translation |
